ThetaEvolve: Test-time Learning on Open Problems, enabling RL training on AlphaEvolve/OpenEvolve and emphasizing scaling test-time compute

[Preprint] RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

[NeurIPS 2025] Precise Information Control in Long-Form Text Generation

[NeurIPS 2025] Reinforcement Learning for Reasoning in Large Language Models with One Training Example

[COLM 2025] EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees

[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

[ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following

[ACL 2023] Plug-and-Play Knowledge Injection for Pre-trained Language Models

[ACL 2023 Findings] Emergent Modularity in Pre-trained Transformers